Inventory is one of the biggest profit levers in retail. AI and machine learning can reduce stockouts, cut excess inventory, and improve forecasting accuracy.
Demand Forecasting
Traditional methods use historical sales and simple seasonality. ML models incorporate promotions, weather, trends, and external data for more accurate forecasts. Time-series models and causal ML are common approaches.
Reorder Points and Safety Stock
AI can optimise reorder points and safety stock levels by product, location, and lead time. Reduces both stockouts (lost sales) and overstock (holding cost and markdowns).
Multi-Location and Fulfilment
For retailers with multiple warehouses or stores, AI helps allocate inventory across locations to minimise total cost while meeting service levels. Integrates with fulfilment logic for click-and-collect and ship-from-store.
Need help with data and analytics for inventory? Contact Rely Tech Serve.